The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game "Quick, Draw!". The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located.

Example drawings: https://raw.githubusercontent.com/googlecreativelab/quickdraw-dataset/master/preview.jpg" alt="preview">

Benchmarking the robustness to distribution shifts traditionally relies on dataset collection which is typically laborious and expensive, in particular for datasets with a large number of classes like ImageNet. An exception to this procedure is ImageNet-C (Hendrycks & Dietterich, 2019), a dataset created by applying common real-world corruptions at different levels of intensity to the (clean) ImageNet images. Inspired by this work, we introduce ImageNet-Cartoon and ImageNet-Drawing, two datasets constructed by converting ImageNet images into cartoons and colored pencil drawings, using a GAN framework (Wang & Yu, 2020) and simple image processing (Lu et al., 2012), respectively.

This repository contains ImageNet-Cartoon and ImageNet-Drawing. Checkout the official GitHub Repo for the code on how to reproduce the datasets.

If you find this useful in your research, please consider citing:

@inproceedings{imagenetshift,
 title={ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet},
 author={Tiago Salvador and Adam M. Oberman},
 booktitle={ICML Workshop on Shift happens: Crowdsourcing metrics and test datasets beyond ImageNet.},
 year={2022}
}

Leisure travel refers to various domestic and international travel, entertainment, sports, culture, and other related information sets.

This repository holds the data collected during the experimental sessions for the project "Sketch it for the robot! How child-like robots' joint attention affects humans' drawing strategies" accepted at ICDL (2024) Conference.

The repository contains the drawings of the categories, the raw data file, the quantitative data file and elaborated data for the analysis.

The folder /Experimental_data contains:

The folder /no_robot contains all the the drawings (.png format), produced in the individual condition, organized in subfolders. Each subfolder corresponds to a participant and the presence of the 'i' in the name means the partcipant was Italian , while the presence of the 's' means that the participant was Slovakian.

The folder /robot contains all the the drawings (.png format), produced in the robot condition, organized in subfolders. As the previous case, the letter 'i' and 's' stands for the nationality of the participant.

The file all_drawings.ndjson contains all the raw data (all the coordinates and timestamp of each drawing), where we also included the features extraction data. Thanks to the raw data (triplets (x, y, t)) it is possible to extract all the features needed.

The file quantitative_data.ndjson contains all the quantitative rankings data collected during the experiment (category, condition, latency time, total time, number of strokes, enjoyment_rank, difficulty_rank, likeability_rank).

The folder /Analysis_data contains the datasets used for the analysis. They are basically subsets specifically generated for the different analysis, containing all the features extraction and questionnaires data:

The file all_drawings_social_influence_all.csv is the 'mother' file containing all the relevant data.

The file all_drawings_social_influence_no_repetitions.csv contains the data relative to the categories that were drawn just 1 time. The file has been generated to study the effects of the social influence due to the robot's presence.

The file all_drawings_social_influence_only_repetitions.csv contains data relative just to the categories that were drawn more than 1 time. This file has been generated to compare results between categories repeated 2 and 3 times, to highlight the effect introduced by repeating a category for the third time.

The file all_drawings_repetition_influence.csv contains data relative to just the categories repeated 3 times, to study the repetition effect.

It is possible to finde the code used to collect the data at the DOI: 10.5281/zenodo.10944480

Abstract This was a quantitative, retrospective, correlational, cross-sectional study that aimed to provide normative CDT (Clock-Drawing Test) data for older adults, taking into account different age groups and educational levels. The sample included 235 older adults distributed among five age groups and four levels of education. The instruments were Sociodemographic Data Sheet, the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale reduced version (GDS-15), the Semantic Verbal Fluency Task (TFVS), and the CDT. Descriptive statistics, Pearson’s correlation, and univariate analysis (one-way ANOVA) with Scheffe post hoc were used. The CDT scores showed significant associations with age, years of schooling, MMSE, TFVS, and GDS-15. There was a difference in performance in CDT when considering age groups. The present study was able to provide normative values for CDT in a sample of older adults in southern Brazil that were influenced by age, education, depressive symptoms, and verbal fluency.

Statistics illustrates consumption, production, prices, and trade of Drawing, marking-out or mathematical calculating instruments in Curacao from 2007 to 2024.

France Imports of drawing, marking-out/mathematical calculating instruments from Tonga was US$47 during 2019, according to the United Nations COMTRADE database on international trade. France Imports of drawing, marking-out/mathematical calculating instruments from Tonga - data, historical chart and statistics - was last updated on July of 2025.

Denmark Imports of drawing, marking-out/mathematical calculating instruments from Angola was US$1 during 2024, according to the United Nations COMTRADE database on international trade. Denmark Imports of drawing, marking-out/mathematical calculating instruments from Angola - data, historical chart and statistics - was last updated on July of 2025.

Statistics illustrates consumption, production, prices, and trade of Drawing, marking-out or mathematical calculating instruments in Andorra from 2007 to 2024.

Financial overview and grant giving statistics of San Francisco Studio School of Drawing Painting Photography

Statistics illustrates consumption, production, prices, and trade of Drawing, marking-out or mathematical calculating instruments in the Czech Republic from 2007 to 2024.

Armenia Imports of drawing, marking-out/mathematical calculating instruments from Mexico was US$8 during 2024, according to the United Nations COMTRADE database on international trade. Armenia Imports of drawing, marking-out/mathematical calculating instruments from Mexico - data, historical chart and statistics - was last updated on July of 2025.

Condominium lottery drawing results for 2001-2013.

Financial overview and grant giving statistics of Drawing Near to God Inc.

Market Size statistics on the Steel Rolling & Drawing industry in the US

Provide information on drawing sets for all the buildings nationwide, as well as the documents relating to the Building Modification Request system.

Ukraine Exports of paintings, drawings and pastels, collages to Russia was US$556 during 2021, according to the United Nations COMTRADE database on international trade. Ukraine Exports of paintings, drawings and pastels, collages to Russia - data, historical chart and statistics - was last updated on July of 2025.

Statistics illustrates consumption, production, prices, and trade of Slates and Boards With Writing or Drawing Surfaces in the World from 2007 to 2024.

Indonesia Exports of drawing, marking-out/mathematical calculating instruments to Denmark was US$354 during 2021, according to the United Nations COMTRADE database on international trade. Indonesia Exports of drawing, marking-out/mathematical calculating instruments to Denmark - data, historical chart and statistics - was last updated on July of 2025.

Poland Imports of drawing, marking-out/mathematical calculating instruments from Armenia was US$48 during 2024, according to the United Nations COMTRADE database on international trade. Poland Imports of drawing, marking-out/mathematical calculating instruments from Armenia - data, historical chart and statistics - was last updated on July of 2025.